Bus Tracking and Seat Availability System

DOI

10.2991/978-94-6463-870-7_13How to use a DOI?

Keywords

GPS Tracking; YOLO (Object Detection); Push Notifications; Firebase cloud message; Estimated Time of Arrival (ETA); IoT Integration

Abstract

In many cities, public transportation is a lifeline for residents, providing an affordable and accessible means of travel. However, inefficiencies such as lack of real-time tracking, unclear seat availability, and insufficient route information often deter passengers from using government buses. These shortcomings lead to inconveniences like extended waiting times, overcrowded buses, and uncertainty regarding travel plans, ultimately decreasing public confidence in the system.

To address these challenges, we propose a GPS-based tracking system that enhances the passenger experience by providing real-time bus tracking, seat availability updates, and comprehensive route information. Seat availability detection is achieved using YOLO (YOLOv5), a state-of-the-art object detection algorithm that accurately identifies and tracks occupied and empty seats in real time using cameras installed in buses and additional this system sends the push notification to the passenger’s with the application installed, and who are within a specified geofence, receive notifications indicating the bus arrival. The system uses geofencing APIs to monitor user locations, while the bus transmits its real time GPS coordinates to a backend server. The backend processes this data to identify users within the geofence and triggers push notifications using services like firebase cloud messaging. This system aims to improve operational efficiency, location aware notification, ensure passenger safety, and promote the use of public transportation by offering clarity convenience and smart city initiatives.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Ginendran
AU  - B. Bala Murugan
AU  - A. Sarveshwara
AU  - P. Sridharan
PY  - 2025
DA  - 2025/10/22
TI  - Bus Tracking and Seat Availability System
BT  - Proceedings of the International Conference on Smart Innovations in Electrical Engineering (ICSIEE 2025)
PB  - Atlantis Press
SP  - 123
EP  - 136
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-870-7_13
DO  - 10.2991/978-94-6463-870-7_13
ID  - Ginendran2025
ER  -